Markus Lundgren

2.8k total citations
45 papers, 589 citations indexed

About

Markus Lundgren is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Markus Lundgren has authored 45 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 35 papers in Endocrinology, Diabetes and Metabolism and 28 papers in Surgery. Recurrent topics in Markus Lundgren's work include Diabetes and associated disorders (41 papers), Diabetes Management and Research (30 papers) and Pancreatic function and diabetes (28 papers). Markus Lundgren is often cited by papers focused on Diabetes and associated disorders (41 papers), Diabetes Management and Research (30 papers) and Pancreatic function and diabetes (28 papers). Markus Lundgren collaborates with scholars based in Sweden, United States and Germany. Markus Lundgren's co-authors include Helena Elding Larsson, Vibha Anand, Jorma Toppari, Berglind Jónsdóttir, William Hagopian, Riitta Veijola, Brigitte I. Frohnert, Peter Achenbach, Kenney Ng and Jeffrey P. Krischer and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Markus Lundgren

42 papers receiving 575 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Markus Lundgren Sweden 16 455 400 365 35 32 45 589
Richard Mauseth United States 10 291 0.6× 252 0.6× 227 0.6× 88 2.5× 24 0.8× 13 461
Calle Johansson Sweden 9 459 1.0× 395 1.0× 430 1.2× 34 1.0× 87 2.7× 10 645
Markus Walter Germany 6 360 0.8× 274 0.7× 260 0.7× 14 0.4× 70 2.2× 9 442
Anne Kaas Denmark 15 410 0.9× 339 0.8× 304 0.8× 127 3.6× 84 2.6× 36 720
Elizabeth Brown United States 8 98 0.2× 71 0.2× 52 0.1× 27 0.8× 21 0.7× 22 328
Alan W. Patrick United Kingdom 11 166 0.4× 336 0.8× 181 0.5× 32 0.9× 13 0.4× 17 464
N. Sulli Italy 11 505 1.1× 733 1.8× 594 1.6× 97 2.8× 20 0.6× 15 885
A.B. Feldman United States 6 85 0.2× 313 0.8× 205 0.6× 79 2.3× 5 0.2× 15 481
Clara Viñals Spain 11 147 0.3× 284 0.7× 112 0.3× 13 0.4× 4 0.1× 43 400
Chiara Diazzi Italy 11 96 0.2× 263 0.7× 52 0.1× 85 2.4× 6 0.2× 32 502

Countries citing papers authored by Markus Lundgren

Since Specialization
Citations

This map shows the geographic impact of Markus Lundgren's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Lundgren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Lundgren more than expected).

Fields of papers citing papers by Markus Lundgren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Lundgren. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Lundgren. The network helps show where Markus Lundgren may publish in the future.

Co-authorship network of co-authors of Markus Lundgren

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Lundgren. A scholar is included among the top collaborators of Markus Lundgren based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Markus Lundgren. Markus Lundgren is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Teixeira, Pedro Filipe, Tadej Battelino, Annelie Carlsson, et al.. (2024). Assisting the implementation of screening for type 1 diabetes by using artificial intelligence on publicly available data. Diabetologia. 67(6). 985–994. 7 indexed citations
3.
Lundgren, Markus, et al.. (2024). Development of a three-dimensional scoring model for the assessment of continuous glucose monitoring data in type 1 diabetes. BMJ Open Diabetes Research & Care. 12(4). e004350–e004350. 1 indexed citations
4.
Weiß, Andreas, Thekla von dem Berge, Kristina Casteels, et al.. (2024). Infection episodes and islet autoantibodies in children at increased risk for type 1 diabetes before and during the COVID-19 pandemic. Infection. 52(6). 2465–2473. 2 indexed citations
5.
Jacobs, An, Christiane Winkler, Andreas Weiß, et al.. (2024). Vitamin D insufficiency in infants with increased risk of developing type 1 diabetes: a secondary analysis of the POInT Study. BMJ Paediatrics Open. 8(1). e002212–e002212. 2 indexed citations
6.
Hummel, Sandra, Thekla von dem Berge, Rachel Besser, et al.. (2024). Early-childhood body mass index and its association with the COVID-19 pandemic, containment measures and islet autoimmunity in children with increased risk for type 1 diabetes. Diabetologia. 67(4). 670–678. 3 indexed citations
7.
Melin, Jessica, Kristian Lynch, Markus Lundgren, et al.. (2023). Factors assessed in the first year of a longitudinal study predict subsequent study visit compliance: the TEDDY study. European journal of medical research. 28(1). 592–592. 1 indexed citations
8.
Winkler, Christiane, Rachel Besser, Angela Hommel, et al.. (2022). The emotional well‐being of parents with children at genetic risk for type 1 diabetes before and during participation in the POInT ‐study. Pediatric Diabetes. 23(8). 1707–1716. 5 indexed citations
9.
Li, Zhiguo, Riitta Veijola, Eileen Koski, et al.. (2022). Childhood Height Growth Rate Association With the Risk of Islet Autoimmunity and Development of Type 1 Diabetes. The Journal of Clinical Endocrinology & Metabolism. 107(6). 1520–1528. 4 indexed citations
10.
Kwon, Bum Chul, Vibha Anand, Peter Achenbach, et al.. (2022). Progression of type 1 diabetes from latency to symptomatic disease is predicted by distinct autoimmune trajectories. Nature Communications. 13(1). 1514–1514. 22 indexed citations
11.
Ng, Kenney, Vibha Anand, Harry Stavropoulos, et al.. (2022). Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children. Diabetologia. 66(1). 93–104. 8 indexed citations
12.
Salami, Falastin, Roy Tamura, Åke Lernmark, et al.. (2022). HbA1c as a time predictive biomarker for an additional islet autoantibody and type 1 diabetes in seroconverted TEDDY children. Pediatric Diabetes. 23(8). 1586–1593. 12 indexed citations
13.
Warncke, Katharina, Andreas Weiß, Peter Achenbach, et al.. (2022). Elevations in blood glucose before and after the appearance of islet autoantibodies in children. Journal of Clinical Investigation. 132(20). 32 indexed citations
14.
Ghalwash, Mohamed, Jessica L. Dunne, Markus Lundgren, et al.. (2022). Two-age islet-autoantibody screening for childhood type 1 diabetes: a prospective cohort study. The Lancet Diabetes & Endocrinology. 10(8). 589–596. 28 indexed citations
15.
Johnson, Suzanne Bennett, Kristian Lynch, Roswith Roth, et al.. (2021). First-appearing islet autoantibodies for type 1 diabetes in young children: maternal life events during pregnancy and the child’s genetic risk. Diabetologia. 64(3). 591–602. 7 indexed citations
16.
Ng, Kenney, Harry Stavropoulos, Vibha Anand, et al.. (2021). Islet Autoantibody Type-Specific Titer Thresholds Improve Stratification of Risk of Progression to Type 1 Diabetes in Children. Diabetes Care. 45(1). 160–168. 9 indexed citations
17.
Ziegler, Anette‐Gabriele, Peter Achenbach, Reinhard Berner, et al.. (2021). Supplementation with Bifidobacterium longum subspecies infantis EVC001 for mitigation of type 1 diabetes autoimmunity: the GPPAD-SINT1A randomised controlled trial protocol. BMJ Open. 11(11). e052449–e052449. 21 indexed citations
18.
Kwon, Bum Chul, Vibha Anand, Kristen Severson, et al.. (2020). DPVis: Visual Analytics With Hidden Markov Models for Disease Progression Pathways. IEEE Transactions on Visualization and Computer Graphics. 27(9). 3685–3700. 42 indexed citations
19.
20.
Lundgren, Markus, et al.. (2018). Influence of early-life parental severe life events on the risk of type 1 diabetes in children: the DiPiS study. Acta Diabetologica. 55(8). 797–804. 9 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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